Staff Data Engineer (Reporting & Analytics) (f/m/d) - Kraków (onsite) OR Poland (remote)

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Staff Data Engineer (Reporting & Analytics) (f/m/d) is responsible for designing and improving Danaher’s data management & analytics function. The primary objective of this role is to build analytics strategies that align with business priorities and drive measurable business outcomes.  

This position reports to the Sr. Director – Data Engineering and is part of the Core Technology & Planning.

This is a Danaher Corporate role, hosted by our Cytiva operating company in Kraków, and will be an on-site role (Kraków) or remote (Poland).

In this role, you will have the opportunity to: 

•  Data Engineer builds and maintains analytics-ready datasets optimized for reporting and dashboards for consumption by all Danaher Opcos. 

• Enable self-service access through semantic layers, catalogues, and APIs, empowering data scientists, analysts, and business teams to consume data without deep pipeline knowledge. 

• Partner with stakeholders to translate business questions into clear, accurate metrics. 

• Ensure data accuracy, freshness, and consistency across reporting surfaces. 

• Implement testing, documentation, and quality checks for data analytics.  

The essential requirements of the job include:

•  Minimum 8 years' experience in analytics engineering, reporting, or business intelligence. 

• Advanced proficiency in PySpark for advanced data processing tasks. 

• Hands-on experience delivering Fabric/Databricks lakehouse solutions with medallion architecture, leveraging Dataflow Gen2, Fabric Pipelines, and PySpark Notebooks in OneLake/Lakehouse. 

• Strong knowledge of Power BI architecture, including DirectQuery, Composite Models, Row-Level Security (RLS), Object-Level Security (OLS), Dashboards. 

•  Build and manage complex ETL/ELT workflows that extract, transform, and load data for downstream analytics and reporting. 

• Strong understanding of CI/CD practices, DevOps.   

• Hands-on experience with cloud data ecosystems (AWS, Azure) designing high-volume, high-availability data pipelines.   

 Travel, Motor Vehicle Record & Physical/Environment Requirements: 

• Ability to travel to Washington DC and global Danaher sites, up to 10%. 

It would be a plus if you also possess previous experience in: 

•  Experience with modern data warehouses (Snowflake, BigQuery, Redshift). 

• Familiarity with cloud data platforms (AWS, Azure, GCP). 

• Knowledge of data governance, metadata management, and data quality frameworks.  

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